Can foster carers help children resolve their emotional and behavioural difficulties?

Although foster care is generally seen as providing a positive experience for the children and young people for whom it caters, it is rarely conceived of as a place where the children are helped to address their emotional difficulties and modify their often difficult behaviour. Yet research evidence suggests that some foster carers are consistently less likely to have placements which break down, and that foster carers who show particular skills in parenting can make a difference to successful outcomes. The paper draws on a large longitudinal study of foster care to argue that it is possible to learn from what these foster carers do in order to develop these skills in others. A model of successful foster care. developed from the main statistical part of the study is first described. Two cases from the qualitative, case studies component of the research are then analysed to demonstrate a quality of responsive parenting. The model is further developed within the framework of the dynamic of attachment and interest sharing proposed by Heard and Lake, to show how this can be used as a basis for future approaches to working with foster placements.

Behavioural correlation for detecting P2P bots

In the past few years, IRC bots, malicious programs which are remotely controlled by the attacker through IRC servers, have become a major threat to the Internet and users. These bots can be used in different malicious ways such as issuing distributed denial of services attacks to shutdown other networks and services, keystrokes logging, spamming, traffic sniffing cause serious disruption on networks and users. New bots use peer to peer (P2P) protocols start to appear as the upcoming threat to Internet security due to the fact that P2P bots do not have a centralized point to shutdown or traceback, thus making the detection of P2P bots is a real challenge. In response to these threats, we present an algorithm to detect an individual P2P bot running on a system by correlating its activities. Our evaluation shows that correlating different activities generated by P2P bots within a specified time period can detect these kind of bots.